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AlBaloul AH, Griffin J, Kopytek A, Elliott P, Frost G. Evidence of gene-nutrient interaction association with waist circumference, cross-sectional analysis. BMC Public Health 2024; 24:1842. [PMID: 38987751 PMCID: PMC11234640 DOI: 10.1186/s12889-024-19127-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 06/13/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND AND AIMS Waist circumference (WC) is a significant indicator of body adiposity and is associated with increased mortality and morbidity of cardiovascular diseases. Although, single nutrient intake and candidate genes were previously associated with WC. Little is known about WC association with overall diet quality, genetic risk score and gene-nutrient interaction. This study aims to investigate the influence of overall diet quality and multiple WC-associated single nucleotide polymorphisms on WC. In addition to investigating gene-nutrient interaction association with WC. METHODS This study explored cross-sectional data from two large sample-size studies, to provide reproducible results. As a representation of the UK population, the Airwave Health Monitoring Study (n = 6,502) and the UK-Biobank Cohort Study (n = 171,129) were explored for factors associated with WC. Diet quality was evaluated based on the Mellen Index for Dietary Approaches to Stop Hypertension (Mellen-DASH). The genetic risk score for WC (GRS-Waist) was calculated by screening the population genotype for WC-associated single nucleotide polymorphisms. Multivariate linear regression models were built to explore WC association with diet quality and genetic risk score. Gene-nutrient interaction was explored by introducing the interaction term (GRS-Waist X Mellen-DASH score) to multivariate linear regression analysis. RESULTS The prevalence of high WC (Female > 80 cm, Male > 94 cm) was 46.5% and 51.7% in both populations. Diet quality and genetic risk score of WC were significantly associated with WC. There was no evidence of interaction between GRS-Waist, DASH diet scores and nutrient intake on WC. CONCLUSION This study's findings provided reproducible results on waist circumference association with diet and genetics and tested the possibility of gene-nutrient interaction. These reproducible results are successful in building the foundation for using diet and genetics for early identification of those at risk of having high WC and WC-associated diseases. In addition, evidence on gene-diet interactions on WC is limited and lacks replication, therefore our findings may guide future research in investigating this interaction and investigating its application in precision nutrition.
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Affiliation(s)
- Anwar H AlBaloul
- Department of Community Medicine and Behavioural Sciences, Faculty of Medicine, Kuwait University, Safat, Kuwait
- Section of Nutrition, Faculty of Medicine, Imperial College London, London, UK
| | - Jennifer Griffin
- Section of Nutrition, Faculty of Medicine, Imperial College London, London, UK
| | - Alexandra Kopytek
- Section of Nutrition, Faculty of Medicine, Imperial College London, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Gary Frost
- Section of Nutrition, Faculty of Medicine, Imperial College London, London, UK.
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2
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Li Y, Yang M, Yuan L, Li T, Zhong X, Guo Y. Associations between a polygenic risk score and the risk of gestational diabetes mellitus in a Chinese population: a case-control study. Endocr J 2023; 70:1159-1168. [PMID: 37779084 DOI: 10.1507/endocrj.ej23-0245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/03/2023] Open
Abstract
Our objective was to construct a polygenic risk score (PRS) and assess its utility and effectiveness in predicting the risk of gestational diabetes mellitus (GDM) in a Chinese population. We performed a case-control study involving 638 patients with GDM and 1,062 healthy controls. Genotyping was conducted utilizing a genome-wide association study (GWAS), and a PRS was constructed. We identified 12 susceptibility loci that exhibited significant associations with the risk of GDM at a p-value threshold of ≤5.0 × 10-8, of which four loci were newly discovered. A higher PRS was associated with an increased risk of GDM (OR: 1.44; 95% CI: 1.03, 2.01 for the highest quartile compared to the lowest quartile). The PRS demonstrated a clear linear relationship with the fasting plasma glucose (FPG), 1-hour postprandial glucose (1hPG), and 2-hour postprandial glucose (2hPG) levels. The maximally adjusted β coefficients and their corresponding 95% CIs were 0.181 (0.041, 0.320) for FPG, 0.225 (0.103, 0.346) for 1hPG, and 0.172 (0.036, 0.307) for 2hPG. Among the genetic variants examined, TCF7L2 rs7903146 displayed the strongest association with GDM risk (logOR = 0.18, p = 2.37 × 10-19), followed by ADAMTSL1 rs10963767 (logOR = 0.14, p = 3.58 × 10-15). The areas under the curve (AUCs) was significantly increased from 0.703 (0.678, 0.728) in the traditional risk factor model to 0.765 (0.741, 0.788) by including PRS. These findings indicate that pregnant women with a higher PRS could potentially derive considerable advantages from the implementation of a feasible PRS-based GDM screening program aimed at delivering precision prevention strategies within Chinese populations.
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Affiliation(s)
- Ying Li
- Department of Graduate School, Xinjiang Medical University, Urumqi, 830054, Xinjiang, China
| | - Mengjiao Yang
- Department of Laboratory, The First People's Hospital of Shuangliu District, Chengdu, 610200, Sichuan, China
| | - Lu Yuan
- Department of Endocrinology, The First People's Hospital of Shuangliu District, Chengdu, 610200, Sichuan, China
| | - Ting Li
- Department of Endocrinology, The First People's Hospital of Shuangliu District, Chengdu, 610200, Sichuan, China
| | - Xinli Zhong
- Department of Gynaecology and Obstetrics, The First People's Hospital of Shuangliu District, Chengdu, 610200, Sichuan, China
| | - Yanying Guo
- Department of Endocrinology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, Xinjiang, China
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GPCR in Adipose Tissue Function-Focus on Lipolysis. Biomedicines 2023; 11:biomedicines11020588. [PMID: 36831123 PMCID: PMC9953751 DOI: 10.3390/biomedicines11020588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/06/2023] [Accepted: 02/10/2023] [Indexed: 02/18/2023] Open
Abstract
Adipose tissue can be divided anatomically, histologically, and functionally into two major entities white and brown adipose tissues (WAT and BAT, respectively). WAT is the primary energy depot, storing most of the bioavailable triacylglycerol molecules of the body, whereas BAT is designed for dissipating energy in the form of heat, a process also known as non-shivering thermogenesis as a defense against a cold environment. Importantly, BAT-dependent energy dissipation directly correlates with cardiometabolic health and has been postulated as an intriguing target for anti-obesity therapies. In general, adipose tissue (AT) lipid content is defined by lipid uptake and lipogenesis on one side, and, on the other side, it is defined by the breakdown of lipids and the release of fatty acids by lipolysis. The equilibrium between lipogenesis and lipolysis is important for adipocyte and general metabolic homeostasis. Overloading adipocytes with lipids causes cell stress, leading to the recruitment of immune cells and adipose tissue inflammation, which can affect the whole organism (metaflammation). The most important consequence of energy and lipid overload is obesity and associated pathophysiologies, including insulin resistance, type 2 diabetes, and cardiovascular disease. The fate of lipolysis products (fatty acids and glycerol) largely differs between AT: WAT releases fatty acids into the blood to deliver energy to other tissues (e.g., muscle). Activation of BAT, instead, liberates fatty acids that are used within brown adipocyte mitochondria for thermogenesis. The enzymes involved in lipolysis are tightly regulated by the second messenger cyclic adenosine monophosphate (cAMP), which is activated or inhibited by G protein-coupled receptors (GPCRs) that interact with heterotrimeric G proteins (G proteins). Thus, GPCRs are the upstream regulators of the equilibrium between lipogenesis and lipolysis. Moreover, GPCRs are of special pharmacological interest because about one third of the approved drugs target GPCRs. Here, we will discuss the effects of some of most studied as well as "novel" GPCRs and their ligands. We will review different facets of in vitro, ex vivo, and in vivo studies, obtained with both pharmacological and genetic approaches. Finally, we will report some possible therapeutic strategies to treat obesity employing GPCRs as primary target.
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Yao EJ, Babbs RK, Kelliher JC, Luttik KP, Borrelli KN, Damaj MI, Mulligan MK, Bryant CD. Systems genetic analysis of binge-like eating in a C57BL/6J x DBA/2J-F2 cross. GENES, BRAIN, AND BEHAVIOR 2021; 20:e12751. [PMID: 33978997 PMCID: PMC9361732 DOI: 10.1111/gbb.12751] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 05/04/2021] [Accepted: 05/11/2021] [Indexed: 12/19/2022]
Abstract
Binge eating is a heritable trait associated with eating disorders and refers to the rapid consumption of a large quantity of energy-dense food that is, associated with loss of control and negative affect. Binge eating disorder is the most common eating disorder in the United States; however, the genetic basis is unknown. We previously identified robust mouse inbred strain differences between C57BL/6J and DBA/2J in binge-like eating of sweetened palatable food in an intermittent access, conditioned place preference paradigm. To map the genetic basis of changes in body weight and binge-like eating (BLE) and to identify candidate genes, we conducted quantitative trait locus (QTL) analysis in 128 C57BL/6J x DBA/2J-F2 mice combined with PheQTL and trait covariance analysis in GeneNetwork2 using legacy BXD-RI trait datasets. We identified a QTL on Chromosome 18 influencing changes in body weight across days in females (log of the odds [LOD] = 6.3; 1.5-LOD: 3-12 cM) that contains the candidate gene Zeb1. We also identified a sex-combined QTL influencing initial palatable food intake on Chromosome 5 (LOD = 5.8; 1.5-LOD: 21-28 cM) that contains the candidate gene Lcorl and a second QTL influencing escalated palatable food intake on Chromosome 6 in males (LOD = 5.4; 1.5-LOD: 50-59 cM) that contains the candidate genes Adipor2 and Plxnd1. Finally, we identified a suggestive QTL in females for slope of BLE on distal Chromosome 18 (LOD = 4.1; p = 0.055; 1.5-LOD: 23-35 cM). Future studies will use BXD-RI strains to fine map loci and support candidate gene nomination for gene editing.
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Affiliation(s)
- Emily J. Yao
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston University School of Medicine, Boston, MA 02118 USA
| | - Richard K. Babbs
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston University School of Medicine, Boston, MA 02118 USA
| | - Julia C. Kelliher
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston University School of Medicine, Boston, MA 02118 USA
| | - Kimberly P. Luttik
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston University School of Medicine, Boston, MA 02118 USA
| | - Kristyn N. Borrelli
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston University School of Medicine, Boston, MA 02118 USA
- Graduate Program for Neuroscience, Boston University, Boston, MA 02215 USA
- Tranformative Training Program in Addiction Science (TTPAS), Boston University, Boston, MA 02118 USA
- Biomolecluar Pharmacology Training Program, Boston University School of Medicine, Boston, MA 02118 USA
| | - M. Imad Damaj
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA 23298 USA
| | - Megan K. Mulligan
- Department of Genetics, Genomics, and Informatics, The University of Tennessee Health Science Center, Memphis, TN 38163 USA
| | - Camron D. Bryant
- Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston University School of Medicine, Boston, MA 02118 USA
- Graduate Program for Neuroscience, Boston University, Boston, MA 02215 USA
- Tranformative Training Program in Addiction Science (TTPAS), Boston University, Boston, MA 02118 USA
- Biomolecluar Pharmacology Training Program, Boston University School of Medicine, Boston, MA 02118 USA
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CMIP SNPs and their haplotypes are associated with dyslipidaemia and clinicopathologic features of IgA nephropathy. Biosci Rep 2021; 40:226655. [PMID: 33112407 PMCID: PMC7593538 DOI: 10.1042/bsr20202628] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 09/16/2020] [Accepted: 10/09/2020] [Indexed: 12/14/2022] Open
Abstract
The relationship between serum lipid profiles and related clinicopathologic features of IgA nephropathy (IgAN) and c-Maf-inducing protein (CMIP) gene polymorphisms is unclear. The present study was designed to examine the effect of CMIP single-nucleotide polymorphisms (SNPs) on dyslipidaemia and clinicopathologic features of IgAN. Clinical and pathological data from patients with IgAN diagnosed at the First Affiliated Hospital of Guangxi Medical University were collected. DNA was extracted from blood samples. CMIP rs2925979 and CMIP rs16955379 genotypes were determined by PCR and direct sequencing. Among 543 patients, 281 had dyslipidaemia (51.7%). Compared with the non-dyslipidaemia group, the dyslipidaemia group exhibited higher blood pressure, blood urea nitrogen, uric acid, and body mass index; higher prevalence of oedema, haematuria, tubular atrophy, and interstitial fibrosis; and lower albumin and estimated glomerular filtration rate. In the dyslipidaemia group, the frequency of C allele carriers was higher than that of non-C allele carriers for rs16955379. Multivariate linear regression analysis showed that total cholesterol, low-density lipoprotein and high-density lipoprotein were associated with rs16955379C allele carriers. Apolipoprotein B was associated with A allele carriers of rs2925979. Linkage disequilibrium was observed between rs16955379 and rs2925979, and rs2925979G-rs16955379T was the most common haplotype. The frequencies of the four CMIP SNP haplotypes differed between dyslipidaemia and non-dyslipidaemia groups in IgAN (P<0.05, for all above). Dyslipidaemia is a common complication in IgAN patients, and those with dyslipidaemia present poor clinicopathologic features. CMIP SNPs and their haplotypes are closely correlated with the occurrence of dyslipidaemia and clinicopathologic damage in IgAN patients.
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The Enigmatic Emerging Role of the C-Maf Inducing Protein in Cancer. Diagnostics (Basel) 2021; 11:diagnostics11040666. [PMID: 33917766 PMCID: PMC8068179 DOI: 10.3390/diagnostics11040666] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/04/2021] [Accepted: 04/05/2021] [Indexed: 11/17/2022] Open
Abstract
The C-Maf-Inducing protein (CMIP) was first described as overexpressed in T cell subpopulations of idiopathic nephrotic syndrome (INS) patients. Later, it was found concomitantly upregulated in podocytes. CMIP expression has also been reported in several types of cancer, including blood malignancies and solid tumors, in many cases accompanied by nephrotic syndrome. In addition to these observations, the duality of CMIP overexpression in the kidney and INS lesions, has been extensively reported as one of the adverse effects of anticancer therapy based on anti-receptor tyrosine kinase drugs. As a consequence, a growing body of evidence points at CMIP as playing a role in cancer. This includes its reciprocal regulatory ties with NF-κB and WT1, and the more recent reports showing an involvement in regulatory circuits in cancer cells. The ensemble of the current information justifies to propose CMIP as an important piece of the puzzle of biological systems involved in cancer and other diseases and its potential as a target.
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7
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Wu Y, Zhong L, Li G, Han L, Fu J, Li Y, Li L, Zhang Q, Guo Y, Xiao X, Qi L, Li M, Gao S, Willi SM. Puberty Status Modifies the Effects of Genetic Variants, Lifestyle Factors and Their Interactions on Adiponectin: The BCAMS Study. Front Endocrinol (Lausanne) 2021; 12:737459. [PMID: 35002951 PMCID: PMC8739496 DOI: 10.3389/fendo.2021.737459] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 12/09/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Hypoadiponectinemia has been associated with various cardiometabolic disease states. Previous studies in adults have shown that adiponectin levels were regulated by specific genetic and behavioral or lifestyle factors. However, little is known about the influence of these factors on adiponectin levels in children, particularly as mitigated by pubertal development. METHODS We performed a cross-sectional analysis of data from 3,402 children aged 6-18 years from the Beijing Child and Adolescent Metabolic Syndrome (BCAMS) study. Pubertal progress was classified as prepubertal, midpuberty, and postpuberty. Six relevant single nucleotide polymorphisms (SNPs) were selected from previous genome-wide association studies of adiponectin in East Asians. Individual SNPs and two weighted genetic predisposition scores, as well as their interactions with 14 lifestyle factors, were analyzed to investigate their influence on adiponectin levels across puberty. The effect of these factors on adiponectin was analyzed using general linear models adjusted for age, sex, and BMI. RESULTS After adjustment for age, sex, and BMI, the associations between adiponectin levels and diet items, and diet score were significant at prepuberty or postpuberty, while the effect of exercise on adiponectin levels was more prominent at mid- and postpuberty. Walking to school was found to be associated with increased adiponectin levels throughout puberty. Meanwhile, the effect of WDR11-FGFR2-rs3943077 was stronger at midpuberty (P = 0.002), and ADIPOQ-rs6773957 was more effective at postpuberty (P = 0.005), while CDH13-rs4783244 showed the strongest association with adiponectin levels at all pubertal stages (all P < 3.24 × 10-15). We further found that effects of diet score (Pinteraction = 0.022) and exercise (Pinteraction = 0.049) were stronger in children with higher genetic risk of hypoadiponectinemia, while higher diet score and exercise frequency attenuated the differences in adiponectin levels among children with different genetic risks. CONCLUSIONS Our study confirmed puberty modulates the associations between adiponectin, and genetic variants, lifestyle factors, and gene-by-lifestyle interactions. These findings provide new insight into puberty-specific lifestyle suggestions, especially in genetically susceptible individuals.
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Affiliation(s)
- Yunpeng Wu
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ling Zhong
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ge Li
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lanwen Han
- Department of Endocrinology, Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Junling Fu
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Li
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lujiao Li
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qian Zhang
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yiran Guo
- Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Center for Data Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Xinhua Xiao
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States
| | - Ming Li
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Ming Li,
| | - Shan Gao
- Department of Endocrinology, Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Steven. M. Willi
- Division of Endocrinology, The Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Hannon BA, Edwards CG, Thompson SV, Reeser GE, Burd NA, Holscher HD, Teran-Garcia M, Khan NA. Single Nucleotide Polymorphisms Related to Lipoprotein Metabolism Are Associated with Blood Lipid Changes following Regular Avocado Intake in a Randomized Control Trial among Adults with Overweight and Obesity. J Nutr 2020; 150:1379-1387. [PMID: 32195538 DOI: 10.1093/jn/nxaa054] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 11/05/2019] [Accepted: 02/17/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Avocados are rich in unsaturated fat and fiber; clinical trials have investigated their effects on metabolic disease. There is high variability in individual changes following avocado consumption, which may be in part due to individual genetic differences. OBJECTIVE Secondary analyses of the Persea americana for Total Health (PATH) Study were used to examine how single nucleotide polymorphisms (SNPs) impact blood lipid changes following a daily meal containing avocado compared with control. METHODS Adults (n = 115, 37% male) aged 25-45 y with overweight and obesity were randomly assigned to receive a daily isocaloric meal with (intervention) or without (control) a standardized amount (males: 175 g; females: 140 g) of avocado for 12 wk. Control meals were higher in saturated fat (17% of energy compared with 7%) and lower in fiber (4 g compared with 16 g) than intervention meals. Whole venous blood was taken at baseline and 12 wk to determine total cholesterol (TC), high-density lipoprotein (HDL) cholesterol, and triglyceride (TG) concentrations. Seventeen SNPs in 10 genes related to lipoprotein metabolism were genotyped. Effects of SNP, diet, and SNP-diet interactions were determined using general linear models. RESULTS No group-by-time effects were detected for changes in TC (P = 0.96), HDL cholesterol (P = 0.28), or TG (P = 0.06) over 12 wk. Three SNP-diet interactions were associated with final TC concentrations: ANGPTL3-rs10889337 (P = 0.01), ANGPTL4-rs2278236 (P = 0.02), and CD36-rs10499859 (P = 0.01). SNPs in GCKR and LPL were associated with TC changes (P = 0.01). The interaction between GCKR-rs1260326 and diet was such that C-homozygotes receiving avocado (n = 23) had final TC concentrations that were significantly lower than the C-homozygotes in the control group (n = 20) (P = 0.02). CONCLUSIONS Results from these exploratory analyses indicate that avocado consumption may help manage dyslipidemia in adults with overweight and obesity; however, effectiveness may differ by genetic profile. Understanding the role of genetic variation in variability following dietary intervention can potentially inform personalized nutrition recommendations.
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Affiliation(s)
- Bridget A Hannon
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Caitlyn G Edwards
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Sharon V Thompson
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Ginger E Reeser
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Nicholas A Burd
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Hannah D Holscher
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Margarita Teran-Garcia
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Human Development and Family Studies, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Naiman A Khan
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, USA
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9
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Dankel SN, Røst TH, Kulyté A, Fandalyuk Z, Skurk T, Hauner H, Sagen JV, Rydén M, Arner P, Mellgren G. The Rho GTPase RND3 regulates adipocyte lipolysis. Metabolism 2019; 101:153999. [PMID: 31672447 DOI: 10.1016/j.metabol.2019.153999] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 10/05/2019] [Accepted: 10/23/2019] [Indexed: 01/14/2023]
Abstract
BACKGROUND Adipose tissue plays a crucial role in diet- and obesity-related insulin resistance, with implications for several metabolic diseases. Identification of novel target genes and mechanisms that regulate adipocyte function could lead to improved treatment strategies. RND3 (RhoE/Rho8), a Rho-related GTP-binding protein that inhibits Rho kinase (ROCK) signaling, has been linked to diverse diseases such as apoptotic cardiomyopathy, heart failure, cancer and type 2 diabetes, in part by regulating cytoskeleton dynamics and insulin-mediated glucose uptake. RESULTS We here investigated the expression of RND3 in adipose tissue in human obesity, and discovered a role for RND3 in regulating adipocyte metabolism. In cross-sectional and prospective studies, we observed 5-fold increased adipocyte levels of RND3 mRNA in obesity, reduced levels after surgery-induced weight loss, and positive correlations of RND3 mRNA with adipocyte size and surrogate measures of insulin resistance (HOMA2-IR and circulating triglyceride/high-density lipoprotein cholesterol (TAG/HDL-C) ratio). By screening for RND3-dependent gene expression following siRNA-mediated RND3 knockdown in differentiating human adipocytes, we found downregulation of inflammatory genes and upregulation of genes related to adipocyte ipolysis and insulin signaling. Treatment of adipocytes with tumor necrosis factor alpha (TNFα), lipopolysaccharide (LPS), hypoxia or cAMP analogs increased RND3 mRNA levels 1.5-2-fold. Functional assays in primary human adipocytes confirmed that RND3 knockdown reduces cAMP- and isoproterenol-induced lipolysis, which were mimicked by treating cells with ROCK inhibitor. This effect could partly be explained by reduced protein expression of adipose triglyceride lipase (ATGL) and phosphorylated hormone-sensitive lipase (HSL). CONCLUSION We here uncovered a novel differential expression of adipose RND3 in obesity and insulin resistance, which may at least partly depend on a causal effect of RND3 on adipocyte lipolysis.
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Affiliation(s)
- Simon N Dankel
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway; Hormone Laboratory, Haukeland University Hospital, N-5021 Bergen, Norway.
| | - Therese H Røst
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway; Hormone Laboratory, Haukeland University Hospital, N-5021 Bergen, Norway
| | - Agné Kulyté
- Department of Medicine (H7), Karolinska Institutet, C2-94 Karolinska University Hospital, Huddinge, 141 86 Stockholm, Sweden
| | - Zina Fandalyuk
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway
| | - Thomas Skurk
- ZIEL Institute for Food and Health, Technical University of Munich, 85354 Freising, Germany; Else Kroener-Fresenius Centre for Nutritional Medicine, School of Medicine, Technical University of Munich, 80992 Munich, Germany
| | - Hans Hauner
- Else Kroener-Fresenius Centre for Nutritional Medicine, School of Medicine, Technical University of Munich, 80992 Munich, Germany; German Center of Diabetes Research, Helmholtz Center, Munich, Germany
| | - Jørn V Sagen
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway; Hormone Laboratory, Haukeland University Hospital, N-5021 Bergen, Norway
| | - Mikael Rydén
- Department of Medicine (H7), Karolinska Institutet, C2-94 Karolinska University Hospital, Huddinge, 141 86 Stockholm, Sweden
| | - Peter Arner
- Department of Medicine (H7), Karolinska Institutet, C2-94 Karolinska University Hospital, Huddinge, 141 86 Stockholm, Sweden
| | - Gunnar Mellgren
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway; Hormone Laboratory, Haukeland University Hospital, N-5021 Bergen, Norway.
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10
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Chen Z, Yu H, Shi X, Warren CR, Lotta LA, Friesen M, Meissner TB, Langenberg C, Wabitsch M, Wareham N, Benson MD, Gerszten RE, Cowan CA. Functional Screening of Candidate Causal Genes for Insulin Resistance in Human Preadipocytes and Adipocytes. Circ Res 2019; 126:330-346. [PMID: 31739742 DOI: 10.1161/circresaha.119.315246] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Rationale: Genome-wide association studies have identified genetic loci associated with insulin resistance (IR) but pinpointing the causal genes of a risk locus has been challenging. Objective: To identify candidate causal genes for IR, we screened regional and biologically plausible genes (16 in total) near the top 10 IR-loci in risk-relevant cell types, namely preadipocytes and adipocytes. Methods and Results: We generated 16 human Simpson-Golabi-Behmel syndrome preadipocyte knockout lines each with a single IR-gene knocked out by lentivirus-mediated CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 system. We evaluated each gene knockout by screening IR-relevant phenotypes in the 3 insulin-sensitizing mechanisms, including adipogenesis, lipid metabolism, and insulin signaling. We performed genetic analyses using data on the genotype-tissue expression portal expression quantitative trait loci database and accelerating medicines partnership type 2 diabetes mellitus Knowledge Portal to evaluate whether candidate genes prioritized by our in vitro studies were expression quantitative trait loci genes in human subcutaneous adipose tissue, and whether expression of these genes is associated with risk of IR, type 2 diabetes mellitus, and cardiovascular diseases. We further validated the functions of 3 new adipose IR genes by overexpression-based phenotypic rescue in the Simpson-Golabi-Behmel syndrome preadipocyte knockout lines. Twelve genes, PPARG, IRS-1, FST, PEPD, PDGFC, MAP3K1, GRB14, ARL15, ANKRD55, RSPO3, COBLL1, and LYPLAL1, showed diverse phenotypes in the 3 insulin-sensitizing mechanisms, and the first 7 of these genes could affect all the 3 mechanisms. Five out of 6 expression quantitative trait loci genes are among the top candidate causal genes and the abnormal expression levels of these genes (IRS-1, GRB14, FST, PEPD, and PDGFC) in human subcutaneous adipose tissue could be associated with increased risk of IR, type 2 diabetes mellitus, and cardiovascular disease. Phenotypic rescue by overexpression of the candidate causal genes (FST, PEPD, and PDGFC) in the Simpson-Golabi-Behmel syndrome preadipocyte knockout lines confirmed their function in adipose IR. Conclusions: Twelve genes showed diverse phenotypes indicating differential roles in insulin sensitization, suggesting mechanisms bridging the association of their genomic loci with IR. We prioritized PPARG, IRS-1, GRB14, MAP3K1, FST, PEPD, and PDGFC as top candidate genes. Our work points to novel roles for FST, PEPD, and PDGFC in adipose tissue, with consequences for cardiometabolic diseases.
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Affiliation(s)
- Zhifen Chen
- From the Beth Israel Deaconess Medical Center, Cardiovascular Institute, Harvard Medical School, Boston, MA (Z.C., H.Y., X.S., M.F., T.B.M., M.D.B., R.E.G, C.A.C.).,Harvard Stem Cell Institute, Harvard University, Cambridge, MA (Z.C., H.Y., M.F., C.R.W., T.B.M., C.A.C.)
| | - Haojie Yu
- From the Beth Israel Deaconess Medical Center, Cardiovascular Institute, Harvard Medical School, Boston, MA (Z.C., H.Y., X.S., M.F., T.B.M., M.D.B., R.E.G, C.A.C.).,Harvard Stem Cell Institute, Harvard University, Cambridge, MA (Z.C., H.Y., M.F., C.R.W., T.B.M., C.A.C.)
| | - Xu Shi
- From the Beth Israel Deaconess Medical Center, Cardiovascular Institute, Harvard Medical School, Boston, MA (Z.C., H.Y., X.S., M.F., T.B.M., M.D.B., R.E.G, C.A.C.)
| | - Curtis R Warren
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA (Z.C., H.Y., M.F., C.R.W., T.B.M., C.A.C.).,Cardiometabolic Disease Research, Boehringer-Ingelheim Pharmaceuticals, Inc, Ridgefield, CT (C.R.W.)
| | - Luca A Lotta
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom (L.A.L., C.L., N.W.)
| | - Max Friesen
- From the Beth Israel Deaconess Medical Center, Cardiovascular Institute, Harvard Medical School, Boston, MA (Z.C., H.Y., X.S., M.F., T.B.M., M.D.B., R.E.G, C.A.C.).,Harvard Stem Cell Institute, Harvard University, Cambridge, MA (Z.C., H.Y., M.F., C.R.W., T.B.M., C.A.C.)
| | - Torsten B Meissner
- From the Beth Israel Deaconess Medical Center, Cardiovascular Institute, Harvard Medical School, Boston, MA (Z.C., H.Y., X.S., M.F., T.B.M., M.D.B., R.E.G, C.A.C.).,Harvard Stem Cell Institute, Harvard University, Cambridge, MA (Z.C., H.Y., M.F., C.R.W., T.B.M., C.A.C.)
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom (L.A.L., C.L., N.W.)
| | - Martin Wabitsch
- Pediatrics and Adolescent Medicine, Ulm University Hospital, Germany (M.W.)
| | - Nick Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom (L.A.L., C.L., N.W.)
| | - Mark D Benson
- From the Beth Israel Deaconess Medical Center, Cardiovascular Institute, Harvard Medical School, Boston, MA (Z.C., H.Y., X.S., M.F., T.B.M., M.D.B., R.E.G, C.A.C.)
| | - Rob E Gerszten
- From the Beth Israel Deaconess Medical Center, Cardiovascular Institute, Harvard Medical School, Boston, MA (Z.C., H.Y., X.S., M.F., T.B.M., M.D.B., R.E.G, C.A.C.)
| | - Chad A Cowan
- From the Beth Israel Deaconess Medical Center, Cardiovascular Institute, Harvard Medical School, Boston, MA (Z.C., H.Y., X.S., M.F., T.B.M., M.D.B., R.E.G, C.A.C.).,Harvard Stem Cell Institute, Harvard University, Cambridge, MA (Z.C., H.Y., M.F., C.R.W., T.B.M., C.A.C.)
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11
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Lamiquiz-Moneo I, Mateo-Gallego R, Bea AM, Dehesa-García B, Pérez-Calahorra S, Marco-Benedí V, Baila-Rueda L, Laclaustra M, Civeira F, Cenarro A. Genetic predictors of weight loss in overweight and obese subjects. Sci Rep 2019; 9:10770. [PMID: 31341224 PMCID: PMC6656717 DOI: 10.1038/s41598-019-47283-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 07/03/2019] [Indexed: 12/24/2022] Open
Abstract
The aim of our study was to investigate a large cohort of overweight subjects consuming a homogeneous diet to identify the genetic factors associated with weight loss that could be used as predictive markers in weight loss interventions. We retrospectively recruited subjects (N = 788) aged over 18 years with a Body Mass Index (BMI) between 25 and 40 kg/m2 who were treated at our lipid unit for at least one year from 2008 to 2016, and we also recruited a control group (168 patients) with normal BMIs. All participants received counselling from a nutritionist that included healthy diet and physical activity recommendations. We genotyped 25 single nucleotide variants (SNVs) in 25 genes that were previously associated with obesity and calculated genetic scores that were derived from 25 SNVs. The risk allele in CADM2 showed a higher frequency in overweight and obese subjects than in controls (p = 0.007). The mean follow-up duration was 5.58 ± 2.68 years. Subjects with lower genetic scores showed greater weight loss during the follow-up period. The genetic score was the variable that best explained the variations in weight from the baseline. The genetic score explained 2.4% of weight change variance at one year and 1.6% of weight change variance at the end of the follow-up period after adjusting for baseline weight, sex, age and years of follow-up.
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Affiliation(s)
- Itziar Lamiquiz-Moneo
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain
| | - Rocío Mateo-Gallego
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain. .,Universidad de Zaragoza, Zaragoza, Spain.
| | - Ana M Bea
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain
| | - Blanca Dehesa-García
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain
| | - Sofía Pérez-Calahorra
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain
| | - Victoria Marco-Benedí
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain
| | - Lucía Baila-Rueda
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain
| | - Martín Laclaustra
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain
| | - Fernando Civeira
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain.,Universidad de Zaragoza, Zaragoza, Spain
| | - Ana Cenarro
- Unidad Clínica y de Investigación en Lípidos y Arteriosclerosis, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERCV, Zaragoza, Spain
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12
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Hilton C, Neville MJ, Wittemans LBL, Todorcevic M, Pinnick KE, Pulit SL, Luan J, Kulyté A, Dahlman I, Wareham NJ, Lotta LA, Arner P, Lindgren CM, Langenberg C, Karpe F. MicroRNA-196a links human body fat distribution to adipose tissue extracellular matrix composition. EBioMedicine 2019; 44:467-475. [PMID: 31151930 PMCID: PMC6607082 DOI: 10.1016/j.ebiom.2019.05.047] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/21/2019] [Accepted: 05/21/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Abdominal fat mass is associated with metabolic risk whilst gluteal femoral fat is paradoxically protective. MicroRNAs are known to be necessary for adipose tissue formation and function but their role in regulating human fat distribution remains largely unexplored. METHODS An initial microarray screen of abdominal subcutaneous and gluteal adipose tissue, with validatory qPCR, identified microRNA-196a as being strongly differentially expressed between gluteal and abdominal subcutaneous adipose tissue. FINDINGS We found that rs11614913, a SNP within pre-miR-196a-2 at the HOXC locus, is an eQTL for miR-196a expression in abdominal subcutaneous adipose tissue (ASAT). Observations in large cohorts showed that rs11614913 increased waist-to-hip ratio, which was driven specifically by an expansion in ASAT. In further experiments, rs11614913 was associated with adipocyte size. Functional studies and transcriptomic profiling of miR-196a knock-down pre-adipocytes revealed a role for miR-196a in regulating pre-adipocyte proliferation and extracellular matrix pathways. INTERPRETATION These data identify a role for miR-196a in regulating human body fat distribution. FUND: This work was supported by the Medical Research Council and Novo Nordisk UK Research Foundation (G1001959) and Swedish Research Council. We acknowledge the OBB-NIHR Oxford Biomedical Research Centre and the British Heart Foundation (BHF) (RG/17/1/32663). Work performed at the MRC Epidemiology Unit was funded by the United Kingdom's Medical Research Council through grants MC_UU_12015/1, MC_PC_13046, MC_PC_13048 and MR/L00002/1.
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Affiliation(s)
- Catriona Hilton
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford OX3 7LE, UK
| | - Matt J Neville
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford OX3 7LE, UK; NIHR Oxford Biomedical Research Centre, OUH Trust, Oxford OX3 7LE, UK.
| | - Laura B L Wittemans
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford OX3 7BN, UK; Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Marijana Todorcevic
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford OX3 7LE, UK
| | - Katherine E Pinnick
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford OX3 7LE, UK
| | - Sara L Pulit
- Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK; Wellcome Trust Centre for Human Genetics, Oxford University, Oxford OX3 7BN, UK; Department of Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jian'an Luan
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Agné Kulyté
- Department of Medicine (H7), Karolinska Institutet at Karolinska University Hospital - Huddinge, 141 86 Stockholm, Sweden
| | - Ingrid Dahlman
- Department of Medicine (H7), Karolinska Institutet at Karolinska University Hospital - Huddinge, 141 86 Stockholm, Sweden
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Luca A Lotta
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Peter Arner
- Department of Medicine (H7), Karolinska Institutet at Karolinska University Hospital - Huddinge, 141 86 Stockholm, Sweden
| | - Cecilia M Lindgren
- Big Data Institute, University of Oxford, Oxford OX3 7FZ, UK; Wellcome Trust Centre for Human Genetics, Oxford University, Oxford OX3 7BN, UK
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Fredrik Karpe
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford OX3 7LE, UK; NIHR Oxford Biomedical Research Centre, OUH Trust, Oxford OX3 7LE, UK.
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13
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Mo MQ, Pan L, Lu QM, Li QL, Liao YH. The association of the CMIP rs16955379 polymorphism with dyslipidemia and the clinicopathological features of IgA nephropathy. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2018; 11:5008-5023. [PMID: 31949578 PMCID: PMC6962923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 08/23/2018] [Indexed: 06/10/2023]
Abstract
Immunoglobulin A nephropathy (IgAN) is among the most common primary glomerular diseases. The prognosis in IgAN is affected by dyslipidemia, a risk factor for cardiovascular disease. The c-Maf inducing protein (CMIP) gene has been found to be associated with lipid metabolism. But the association between the CMIP rs16955379 single nucleotide polymorphism (SNP) and dyslipidemia or the related clinicopathological features in IgAN have not been reported thus far. The present study investigated the correlation between them. The CMIP rs16955379 SNP genotypes of 300 subjects with IgAN recruited from the First Affiliated Hospital of Guangxi Medical University were identified by polymerase chain reaction and direct sequencing. Compared with the control (normal lipid) group, the dyslipidemia group with IgAN had higher blood uric acid, serum creatinine, blood urea nitrogen and urinary protein quantity, higher proportions of mesangial cell proliferation and renal tubular atrophy/interstitial fibrosis (IFTA), and a lower estimated glomerular filtration rate and serum albumin. The frequencies of the CMIP rs16955379 SNP TT genotype and T allele in the dyslipidemia group were higher than in the control group. Triglyceride, apolipoprotein A1 (ApoA1), ApoA1/B, incidences of mesangial cell proliferation, and IFTA were higher in TT genotype carriers than in CC/CT genotype carriers. Serum lipid profiles and dyslipidemia were significantly associated with renal dysfunction and IFTA. IgAN patients with the TT genotype were more likely to have dyslipidemia, renal dysfunction and IFTA (P < 0.05 for all above). These results indicate that CMIP rs16955379 SNP may be a genetic susceptibility gene for dyslipidemia and poor renal outcome in IgAN.
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Affiliation(s)
- Man-Qiu Mo
- Department of Nephrology, Institute of Urology, The First Affiliated Hospital, Guangxi Medical UniversityNanning, Guangxi, People’s Republic of China
| | - Ling Pan
- Department of Nephrology, Institute of Urology, The First Affiliated Hospital, Guangxi Medical UniversityNanning, Guangxi, People’s Republic of China
| | - Qing-Mei Lu
- First Clinical Medical College, Guangxi Medical UniversityNanning, Guangxi, People’s Republic of China
| | - Qiu-Lin Li
- Department of Nephrology, Institute of Urology, The First Affiliated Hospital, Guangxi Medical UniversityNanning, Guangxi, People’s Republic of China
| | - Yun-Hua Liao
- Department of Nephrology, Institute of Urology, The First Affiliated Hospital, Guangxi Medical UniversityNanning, Guangxi, People’s Republic of China
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14
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Petrie JR, Guzik TJ, Touyz RM. Diabetes, Hypertension, and Cardiovascular Disease: Clinical Insights and Vascular Mechanisms. Can J Cardiol 2018; 34:575-584. [PMID: 29459239 PMCID: PMC5953551 DOI: 10.1016/j.cjca.2017.12.005] [Citation(s) in RCA: 826] [Impact Index Per Article: 137.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Revised: 12/06/2017] [Accepted: 12/07/2017] [Indexed: 12/11/2022] Open
Abstract
Hypertension and type 2 diabetes are common comorbidities. Hypertension is twice as frequent in patients with diabetes compared with those who do not have diabetes. Moreover, patients with hypertension often exhibit insulin resistance and are at greater risk of diabetes developing than are normotensive individuals. The major cause of morbidity and mortality in diabetes is cardiovascular disease, which is exacerbated by hypertension. Accordingly, diabetes and hypertension are closely interlinked because of similar risk factors, such as endothelial dysfunction, vascular inflammation, arterial remodelling, atherosclerosis, dyslipidemia, and obesity. There is also substantial overlap in the cardiovascular complications of diabetes and hypertension related primarily to microvascular and macrovascular disease. Common mechanisms, such as upregulation of the renin-angiotensin-aldosterone system, oxidative stress, inflammation, and activation of the immune system likely contribute to the close relationship between diabetes and hypertension. In this article we discuss diabetes and hypertension as comorbidities and discuss the pathophysiological features of vascular complications associated with these conditions. We also highlight some vascular mechanisms that predispose to both conditions, focusing on advanced glycation end products, oxidative stress, inflammation, the immune system, and microRNAs. Finally, we provide some insights into current therapies targeting diabetes and cardiovascular complications and introduce some new agents that may have vasoprotective therapeutic potential in diabetes.
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Affiliation(s)
- John R Petrie
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom
| | - Tomasz J Guzik
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom
| | - Rhian M Touyz
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom.
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15
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Opposite Genetic Effects of CMIP Polymorphisms on the Risk of Type 2 Diabetes and Obesity: A Family-Based Study in China. Int J Mol Sci 2018; 19:ijms19041011. [PMID: 29597287 PMCID: PMC5979311 DOI: 10.3390/ijms19041011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 03/23/2018] [Accepted: 03/26/2018] [Indexed: 02/08/2023] Open
Abstract
C-Maf Inducing Protein (CMIP) gene polymorphisms were reported to be associated with type 2 diabetes mellitus (T2DM). Whether the association between CMIP and T2DM is mediated via obesity-related phenotypes is still unclear. We analyzed the association of CMIP rs2925979 with T2DM and a comprehensive set of obesity-related phenotypes in 1576 families ascertained from a Chinese population. These families included a total of 3444 siblings (1582 with T2DM, 963 with prediabetes, and 899 with a normal glucose level). Using multi-level mixed effects regression models, we found that each copy of CMIP rs2925979_T allele was associated with a 29% higher risk of T2DM in females (p = 9.30 × 10-4), while it was not significantly associated with T2DM in males (p = 0.705). Meanwhile, rs2925979_T allele was associated with lower levels of body mass index (BMI), waist circumference (WC), hip circumference (HC), percentage of body fat (PBF), PBF of arms, PBF of legs, and PBF of trunk in nondiabetes females (all p < 0.05). The opposite associations of rs2925979_T allele with T2DM and obesity-related phenotypes suggest that CMIP may exert independent pleiotropic effects on T2DM and obesity-related phenotypes in females.
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16
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Abstract
OBJECTIVE Although white adipose tissue mass and distribution correlates with cardiovascular disease, the fat cell-specific perturbations underlying this association are not known. We determined the relationship between adipocyte size and lipid metabolism with cardiovascular risk. DESIGN/SUBJECTS Adipocyte size as well as spontaneous (basal) and hormone-stimulated effects on adipocyte lipid metabolism (lipolysis and lipogenesis) were investigated in abdominal subcutaneous adipose tissue of 304 men and 775 women. Subjects were classified into five categories according to Adult Treatment Panel III (ATPIII) metabolic syndrome criteria. RESULTS Adipocyte size increased with increasing ATPIII score (P < 0.0001). For lipolysis, there was a gradual increase in basal and catecholamine-stimulated lipolysis and a decrease in insulin-mediated inhibition of stimulated lipolysis with ATPIII (P < 0.0001). In contrast, the lipolytic action of atrial natriuretic peptide was similar between ATPIII classes. Basal and insulin-stimulated lipogenesis decreased with increasing score (P < 0.0001). Circulating free fatty acid levels were 50% higher in the top risk category (4-5) compared with the lowest score (P < 0.0001). Fat cell size correlated positively with increasing ATPIII score and lipolysis but negatively with lipogenesis. All these differences were independent of age, sex and body weight status (P < 0.0001 to 0.02 after correction). When all functional measures were put together, maximum insulin-stimulated lipogenesis, insulin-antilipolytic sensitivity and basal lipolysis together explained about 20% in the variation of ATPIII in score. CONCLUSIONS Independently of sex, age and body weight status, a high cardiovascular risk score associates with increased circulating free fatty acid levels and hormone-specific alterations of lipolysis/lipogenesis in enlarged subcutaneous fat cells.
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Affiliation(s)
- M Rydén
- Department of Medicine (H7), C2-94, Karolinska Institutet at Karolinska University Hospital, Huddinge, Stockholm, Sweden
| | - P Arner
- Department of Medicine (H7), C2-94, Karolinska Institutet at Karolinska University Hospital, Huddinge, Stockholm, Sweden
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17
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Yan J, Su R, Ao D, Wang Y, Wang H, Yang H. Genetic variants and clinical relevance associated with gestational diabetes mellitus in Chinese women: a case-control study. J Matern Fetal Neonatal Med 2017; 31:2115-2121. [PMID: 28554271 DOI: 10.1080/14767058.2017.1336225] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
PURPOSE Gestational diabetes mellitus (GDM) may share similar mechanisms with type 2 diabetes and obesity. In the current study, we aimed to verify twenty genes reported to be associated with type 2 diabetes and obesity in the Chinese GDM population. METHODS Pregnant women aged 20-49 years at 24-28 gestational weeks were recruited and 556 cases and 445 controls were enrolled in the study. The genotyping of single nucleotide polymorphisms (SNPs) was performed on peripheral blood samples. RESULTS We discovered that GDM was associated with rs945508 (OR = 1.368, 95% CI = 1.080-1.732, p = .009), rs10804591 (OR = 1.446, 95% CI = 1.192-1.754, p < .001), rs10245353 (OR = 1.204, 95% CI = 1.006-1.441, p = .043) and rs1552224 (OR = 1.451, 95% CI = 1.071-1.964, p = .016). CONCLUSIONS We found that four SNPs associated with type 2 diabetes and obesity may also increase the risk of developing GDM in the Chinese population. Among these SNPs, we report for the first time that rs945508 in ARHGEF11, rs10804591 in PLXND1 and rs10245353 in NFE2L3 were associated with GDM.
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Affiliation(s)
- Jie Yan
- a Department of Obstetrics and Gynecology , Peking University First Hospital , Beijing , China
| | - Rina Su
- a Department of Obstetrics and Gynecology , Peking University First Hospital , Beijing , China
| | - Deng Ao
- b Department of Child, Adolescent and Women's Health, School of Public Health , Peking University , Beijing , China
| | - Yan Wang
- b Department of Child, Adolescent and Women's Health, School of Public Health , Peking University , Beijing , China
| | - Haijun Wang
- b Department of Child, Adolescent and Women's Health, School of Public Health , Peking University , Beijing , China
| | - Huixia Yang
- a Department of Obstetrics and Gynecology , Peking University First Hospital , Beijing , China
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